A User-Driven Method for Using Research Products to Empirically Assess Item Importance in National Surveys Cover

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A User-Driven Method for Using Research Products to Empirically Assess Item Importance in National Surveys

Journal of Official Statistics

Volume 38 (2022): Issue 4 (December 2022)

By: Ai Rene Ong, Robert Schultz, Sofi Sinozich, Jennifer Sinibaldi, Brady T West, James Wagner and John Finamore

Open Access

|Dec 2022

Authors

Ai Rene Ong

aireneo@umich.edu

Institute for Social Research, University of Michigan, U.S.A.

Robert Schultz

schultro@umich.edu

Institute for Social Research, University of Michigan, U.S.A.

Sofi Sinozich

sofi.sinozich@gmail.com

University of Maryland, U.S.A.

Jennifer Sinibaldi

jsinibal@nsf.gov

The National Center for Science and Engineering Statistics (NCSES) within the National Science Foundation, U.S.A.

Brady T West

bwest@umich.edu

Institute for Social Research, University of Michigan, U.S.A.

James Wagner

Institute for Social Research, University of Michigan, U.S.A.

John Finamore

jfinamor@nsf.gov

The National Center for Science and Engineering Statistics (NCSES) within the National Science Foundation, U.S.A.

DOI: https://doi.org/10.2478/jos-2022-0052 | Journal eISSN: 2001-7367

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Language: English

Page range: 1235 - 1251

Submitted on: Mar 1, 2021

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Accepted on: Jan 1, 2022

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Published on: Dec 3, 2022

Published by: Sciendo

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Respondent burden,

public use data,

Related subjects:

Probability and statistics

© 2022 Ai Rene Ong, Robert Schultz, Sofi Sinozich, Jennifer Sinibaldi, Brady T West, James Wagner, John Finamore, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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